GenAI Data Platform Architect & Databricks ML Ops Lead

Karsun Solutions, LLC

Illinois

Remote

USD 160,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) plan
Flexible work hours

Job summary

Karsun Solutions, LLC is looking for a Lead Data Architect based in Illinois. This hands-on role involves designing and building enterprise data platforms for ML and AI use cases, leading the implementation of Databricks solutions, and collaborating with teams to optimize data platforms.

The ideal candidate will have over 8 years of experience in data engineering, an active AWS certification, and proven expertise with Databricks and ML pipelines. A strong background in Python and cloud platforms is essential.

Qualifications

  • 8+ years of experience in data engineering and platform architecture.
  • Active AWS Certified Machine Learning – Specialty certification.
  • Experience with ML/LLM pipelines and operationalizing models.

Responsibilities

  • Architect and implement enterprise data platforms optimized for ML and GenAI workloads.
  • Lead design and hands-on implementation of Databricks workspaces and performance tuning.
  • Collaborate with teams to translate business needs into GenAI solutions.

Skills

Data engineering and platform architecture
Databricks expertise
Python proficiency
MLOps and ML pipeline experience
Cloud platform experience (AWS)

Education

BA or BS in Computer Science or related field

Tools

Databricks
PySpark
MLflow
Terraform

Job description

Karsun Solutions, LLC is looking for a Lead Data Architect based in Illinois. This hands-on role involves designing and building enterprise data platforms for ML and AI use cases, leading the implementation of Databricks solutions, and collaborating with teams to optimize data platforms.

The ideal candidate will have over 8 years of experience in data engineering, an active AWS certification, and proven expertise with Databricks and ML pipelines. A strong background in Python and cloud platforms is essential.

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